Using Spark with Python

Get ready for your exam by enrolling in our comprehensive training course. This course includes a full set of instructional videos designed to equip you with in-depth knowledge essential for passing the certification exam with flying colors.

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Introduction to Course

1. Course Overview
7m 46s
2. What is Spark? Why Python?
18m 48s

Setting up Python with Spark

1. Set-up Overview
5m 48s

Local VirtualBox Set-up

1. Local Installation VirtualBox Part 1
4m 23s
2. Local Installation VirtualBox Part 2
12m 59s
3. Setting up PySpark
5m 9s

AWS EC2 PySpark Set-up

1. AWS EC2 Set-up Guide
2m 38s
2. Creating the EC2 Instance
14m 3s
3. SSH with Mac or Linux
3m 41s
4. Installations on EC2
14m 16s

Databricks Setup

1. Databricks Setup
10m 5s

AWS EMR Cluster Setup

1. AWS EMR Setup
15m 6s

Python Crash Course

1. Introduction to Python Crash Course
1m 25s
2. Jupyter Notebook Overview
5m 36s
3. Python Crash Course Part One
15m 52s
4. Python Crash Course Part Two
11m 53s
5. Python Crash Course Part Three
10m 58s
6. Python Crash Course Exercises
1m 8s
7. Python Crash Course Exercise Solutions
9m 9s

Spark DataFrame Basics

1. Introduction to Spark DataFrames
2m 16s
2. Spark DataFrame Basics
10m 33s
3. Spark DataFrame Basics Part Two
9m 37s
4. Spark DataFrame Basic Operations
9m 53s
5. Groupby and Aggregate Operations
11m 37s
6. Missing Data
8m 22s
7. Dates and Timestamps
9m 42s

Spark DataFrame Project Exercise

1. DataFrame Project Exercise
2m 40s
2. DataFrame Project Exercise Solutions
16m 36s

Introduction to Machine Learning with MLlib

1. Introduction to Machine Learning and ISLR
4m 23s
2. Machine Learning with Spark and Python with MLlib
4m 16s

Linear Regression

1. Linear Regression Theory and Reading
4m 55s
2. Linear Regression Documentation Example
13m 32s
3. Regression Evaluation
6m 36s
4. Linear Regression Example Code Along
14m 15s
5. Linear Regression Consulting Project
3m 3s
6. Linear Regression Consulting Project Solutions
15m 3s

Logistic Regression

1. Logistic Regression Theory and Reading
11m 13s
2. Logistic Regression Example Code Along
15m 29s
3. Logistic Regression Code Along
3m 5s
4. Logistic Regression Consulting Project
11m
5. Logistic Regression Consulting Project Solutions
7m 32s

Decision Trees and Random Forests

1. Tree Methods Theory and Reading
7m 50s
2. Tree Methods Documentation Examples
12m 31s
3. Decision Tress and Random Forest Code Along Examples
20m 24s
4. Random Forest - Classification Consulting Project
2m 25s
5. Random Forest Classification Consulting Project Solutions
7m 48s

K-means Clustering

1. K-means Clustering Theory and Reading
6m 44s
2. KMeans Clustering Documentation Example
9m 3s
3. Clustering Example Code Along
10m 50s
4. Clustering Consulting Project
3m
5. Clustering Consulting Project Solutions
8m 26s

Collaborative Filtering for Recommender Systems

1. Introduction to Recommender Systems
6m 24s
2. Recommender System - Code Along Project
11m 40s

Natural Language Processing

1. Introduction to Natural Language Processing
7m 56s
2. NLP Tools Part One
15m 30s
3. NLP Tools Part Two
7m 48s
4. Natural Language Processing Code Along Project
13m 27s

Spark Streaming with Python

1. Introduction to Streaming with Spark!
10m 11s
2. Spark Streaming Documentation Example
8m 56s
3. Spark Streaming Twitter Project - Part
3m 44s
4. Spark Streaming Twitter Project - Part Two
12m 35s
5. Spark Streaming Twitter Project - Part Three
13m 46s